Our Event Platform ingests, transforms and stores events to provide more than 30 Datadog products data retrieved by a query API at a rate of ~15 Million messages/second. With a focus on a high level of reliability, you will contribute to a platform using Java, Go, and Rust. Engineers with a background or interest in the challenges of optimizing distributed systems for durability, high availability, low latency, and scalability are encouraged to apply.
This is a unique opportunity to contribute to one of the most critical platforms at Datadog. This platform provides a scalable, exactly-once, cost-effective, and reliable storage engine for timestamped payloads with a full-featured and fast query engine with multiple integration options. We have challenges to continue scaling these components and add new features important for our customers. This is an opportunity to accelerate the growth of one of the most profitable parts of the business.
What You'll Do:
- Build and operate distributed, high-throughput, real-time data pipelines
- Do it in Go and Java, with bits of Python or other languages
- Use Kafka, Kubernetes, FoundationDB, and other open-source components
- Own meaningful parts of our service, have an impact, grow with the company
- Design and architect the most effective data pipeline using modern architecture
- Write a significant amount of code, lead architectural decisions for new and existing services
Who You Are:
- BS/MS/PhD in Computer Science/Engineering, Math, Physics, or equivalent STEM field
- Experience with one or more programming languages (Go, Java, Rust, C++, Python)
- Experience building storage engines, datastores, and/or high-scale Distributed Systems
- Desire to work in a fast-paced, high-growth tech-first environment
Benefits and Growth:
- Product training to develop an in-depth understanding of our product and space
- Continuous career development and pathing opportunities for internal mobility
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- New hire stock equity (RSUs) and employee stock purchase plan
- Free global mental health benefit through Spring Health
- Generous global benefits
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is: $187,000 - $240,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth.
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice.
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